ARCHIVE May 5, 2026
May 5, 2026 · AL West

Chicago White Sox vs Los Angeles Angels

May 5, 2026Angel StadiumPartly Cloudy 64°F · 10 mph, Varies
AWAY
Chicago White Sox
17-19
3
vs
HOME
Los Angeles Angels
14-23
4

Starting pitchers

AWAY · CWS
Erick Fedde
Erick Fedde
IP 4.2
HOME · LAA
Sam Aldegheri
Sam Aldegheri
IP 4

Lineups

AWAY · CWS
  1. 1 Chase Meidroth 2B
  2. 2 Miguel Vargas 1B
  3. 3 Colson Montgomery 3B
  4. 4 Randal Grichuk RF
  5. 5 Edgar Quero C
  6. 6 Andrew Benintendi DH
  7. 7 Derek Hill CF
  8. 8 Luisangel Acuña SS
  9. 9 Sam Antonacci LF
HOME · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Nolan Schanuel 1B
  4. 4 Jorge Soler DH
  5. 5 Jo Adell RF
  6. 6 Yoán Moncada 3B
  7. 7 Vaughn Grissom 2B
  8. 8 Sebastián Rivero C
  9. 9 Josh Lowe LF

Box score

  123456789 R
CWS 200000100 3
LAA 200020000 4

Manager comparison

Both managers grade D- / C entering this matchup.

AWAY · CWS
Will Venable
D- Lineup 3.2 R Bunts 2.2 R IBBs 1.1 R
HOME · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R

Recent form

AWAY · CWS
6-4 L3 +9 run diff
LLLWLWWWWW
HOME · LAA
3-7 L1 -10 run diff
LWWLLWLLLL

Season series: 4-2 with CWS listed first across 6 prior meetings.

Tactical analysis

RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.

AWAY · Chicago White Sox
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.48 vs actual lineup 4.45
  • Player execution −1.45 R/G Players fell 1.45 short of the lineup's 4.45 projection (scored 3)
  • Game variance −1.48 R/G Total game outcome vs optimal expectation

Vargas 0-for-3 batting 2nd

HOME · Los Angeles Angels
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 3.75 vs actual lineup 3.77
  • Player execution +0.23 R/G Players exceeded the lineup's 3.77 projection by 0.23 (scored 4)
  • Game variance +0.25 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 4.5 – 3.8 — actual was 3 – 4.

Keep reading

How RunsLeft analyzes games

Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.

Read the full methodology.